TangramFP: Energy-Efficient, Bit-Parallel, Multiply-Accumulate for Deep Neural Networks
Y Yao, X Chen, H Atmer… - 2024 IEEE 36th …, 2024 - ieeexplore.ieee.org
As energy consumption becomes a primary concern for deep learning acceleration, the
need to optimize not only data movement but also compute is becoming important. The …
need to optimize not only data movement but also compute is becoming important. The …
[图书][B] Tapered-Precision Numerical Formats for Deep Learning Inference and Training
SHF Langroudi - 2023 - search.proquest.com
The demand to deploy deep learning models on edge devices has recently increased due to
their pervasiveness, in applications ranging from healthcare to precision agriculture …
their pervasiveness, in applications ranging from healthcare to precision agriculture …
Tapered-Precision Numerical Formats for Deep Learning Inference and Training
SH Fatemi Langroudi - 2023 - repository.rit.edu
The demand to deploy deep learning models on edge devices has recently increased due to
their pervasiveness, in applications ranging from healthcare to precision agriculture …
their pervasiveness, in applications ranging from healthcare to precision agriculture …